nach der Bestellung gedruckt Neuware - Printed after ordering - In today s digital economy, data-driven edge systems have become essential for businesses seeking agility and efficiency. Processing data closer to the source, organizations can achieve real time insights and improve decision making for these companies. These systems empower businesses to respond rapidly to market demands, optimize operations, and deliver personalized customer experiences. Building Data-Driven Edge Systems for Business Success provides comprehensive guidance for organizations implementing edge computing solutions to drive business value. It delves into the architecture, implementation strategies, and best practices that enable businesses to harness the power of edge intelligence, while addressing critical challenges in security, scalability, and resource optimization. Covering topics such as data analytics, computing principles, and innovation, this book is an excellent resource for data scientists, educators, students, researchers, academicians, business practitioners, and more.

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Bibliographic Details

Title: Building Data-Driven Edge Systems for Business Success
Publisher: IGI Global
Publication Date: 2025
Language: English
ISBN 13: 9798337311487
Binding: Taschenbuch
Condition: Neu
Dimensions: 254 millimeters width by 178 millimeters height by 26 millimeters depth
Weight: 891 grams

About this title

Synopsis

In today s digital economy, data-driven edge systems have become essential for businesses seeking agility and efficiency. Processing data closer to the source, organizations can achieve real time insights and improve decision making for these companies. These systems empower businesses to respond rapidly to market demands, optimize operations, and deliver personalized customer experiences. Building Data-Driven Edge Systems for Business Success provides comprehensive guidance for organizations implementing edge computing solutions to drive business value. It delves into the architecture, implementation strategies, and best practices that enable businesses to harness the power of edge intelligence, while addressing critical challenges in security, scalability, and resource optimization. Covering topics such as data analytics, computing principles, and innovation, this book is an excellent resource for data scientists, educators, students, researchers, academicians, business practitioners, and more.

About the Authors

Minakshi is an accomplished academician with 18+ years of experience in computer science and engineering domains. Currently an Assistant Professor at King Khalid University, she has taught at esteemed institutions like Uttaranchal University and Tula's Institute. A prolific researcher with 80 Scopus publications, 18 patents, and 3 software copyrights, she has received accolades like Outstanding Section Volunteer Award (IEEE UP Section), Research Excellence Award, and HOD of the Year Award. Adept at curriculum development, research guidance, project management, and team leadership, Dr. Minakshi brings a holistic approach to education, fostering student success through quality instruction and innovative pedagogical methods.

Tarun Kumar received his Ph.D. degree from the National Institute of Technology Patna, Bihar, India. Dr. Kumar has more than 20 years of experience in teaching and is currently working as an Associate Professor in the School of Computer Science at the University of Petroleum and Energy Studies (UPES), Dehradun, India. His research interests include cloud computing, IoT, and DNA computing. Dr. Kumar has published several edited books, book chapters, patents and papers in conference proceedings and refereed journals. He has also participated in many international conferences as an organizer and session chair. Dr. Kumar is a senior member of IEEE, ACM, IEEE Computer Society, and a Member IEEE Computational Intelligence Society. Dr. Kumar brings a holistic approach to education, fostering student success through quality instruction and innovative pedagogical methods.

Kapil Joshi is an associate professor at Uttaranchal University, Dehradun. He earned his Ph.D. in Computer Science and Engineering from Uttaranchal University in 2022, specializing in Image processing. Dr. Kapil's research interests include Image processing, Artificial intelligence, Machine learning etc. He got “Best Researcher Award” in International Scientist Awards 2021 On Engineering, Science and Medicine 07&08-Aug-2021, Pondicherry, India and organized by VDGood, technology factory. He is having more than 100 papers published in Scopus/SCI. He has published various patents also. He has organized many conferences, seminars, workshops etc.

Akash Saxena is a distinguished Principal at the Department of Computer Science and Information Technology at Compucom Institute of Technology & Management in Jaipur, Rajasthan. With over 21 years of experience, he is an expert in Data Mining, Network Security, E-Commerce, and Cloud Computing. Dr. Saxena holds a Ph.D. in Computer Science from Maharaja Ganga Singh University, along with M.Phil and M.Tech degrees. His impressive academic contributions include over 70 papers in international journals, 35 in international conferences, and 21 in national conferences. He has authored 11 books, holds 6 patents and 3 copyrights, and has guided more than 45 research scholars. Dr. Saxena is also actively involved in professional organizations like CSI and IEEE.

DIlip Kumar Jang Bahadur Saini is having above 20 years of teaching experience. He got his PHD from Sathyabam Institute of Science and Technology, Jeppiaar Nagar, Chennai in 2024. He is working on various research projects which are funded by government agencies. He is having various publications which are indexed by Scopus/SCI. He was awarded by Best Researcher Award 2021 from Innogen Research Foundation Hyderabad on 5 Sept 2021. He was awarded by Performance Excellence Award 2021 from Global Education and Corporate Leadership (GECL-2021) Award by LWT way Tech India Pvt. Ltd, Rajasthan India at Tulas Institute of Technology, Dehradun on 21 Dec 2021.

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